Constrained decoding is of great importance not only for speed but also for translation quality. Previous efforts explore soft syntactic constraints which are based on constituent...
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
Most state of the art approaches for machine transliteration are data driven and require significant parallel names corpora between languages. As a result, developing transliterat...
Mitesh M. Khapra, A. Kumaran, Pushpak Bhattacharyy...
Hierarchical phrase-based translation (Hiero, (Chiang, 2005)) provides an attractive framework within which both short- and longdistance reorderings can be addressed consistently ...
We present a method for disambiguating syntactic subjects from syntactic objects (a frequent ambiguity) in German sentences taken from an English-German bitext. We exploit the fac...
Florian Schwarck, Alexander Fraser, Hinrich Sch&uu...
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
We consider the problem of predicting a movie's opening weekend revenue. Previous work on this problem has used metadata about a movie--e.g., its genre, MPAA rating, and cast...
Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. ...
Automatically finding email messages that contain requests for action can provide valuable assistance to users who otherwise struggle to give appropriate attention to the actionab...
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...